TAILIEUCHUNG - SAS/ETS 9.22 User's Guide 290

SAS/Ets User's Guide 290. Provides detailed reference material for using SAS/ETS software and guides you through the analysis and forecasting of features such as univariate and multivariate time series, cross-sectional time series, seasonal adjustments, multiequational nonlinear models, discrete choice models, limited dependent variable models, portfolio analysis, and generation of financial reports, with introductory and advanced examples for each procedure. You can also find complete information about two easy-to-use point-and-click applications: the Time Series Forecasting System, for automatic and interactive time series modeling and forecasting, and the Investment Analysis System, for time-value of money analysis of a variety of investments | 2882 F Chapter 45 Window Reference Fit Models Automatically opens the Automatic Model Fitting window for applying the automatic model selection process to all series or to selected series in an input data set. Produce Forecast opens the Produce Forecasts window for producing forecasts for the series in the current input data set for which you have fit forecasting models. Manage Projects opens the Manage Forecasting Project window for viewing or editing information stored in projects. Exit closes the Time Series Forecasting system. Help accesses the help system. Time Series Simulation Window Use the Time Series Simulation window to create a data set of simulated series generated by ARIMA processes. Access this window from the Tools menu in the Develop Models and Manage Forecasting Project windows. Time Series Viewer Window F 2883 Controls and Fields Output Data Set is the name of the data set to be created. Type in a one-level or two-level SAS data set name. Interval is the time interval between observations data frequency in the simulated data set. Type in an interval name or select one from the pop-up list. Seed is the seed for the random number generator used to produce the simulated time series. N Observations is the number of time periods to simulate. Starting Date is the starting date for the simulated observations. Type in a date in a form recognizable by a SAS data informat for example 1998 1 feb1997 or 03mar1998. Ending Date is the ending date for the simulated observations. Type in a date in a form recognizable by a SAS data informat. Series to Generate is the list of variable names and ARIMA processes to simulate. Add Series opens the ARIMA Process Specification window to enable you to add entries to the Series to Generate list. Delete Series deletes selected highlighted entries from the Series to Generate list. OK closes the Time Series Simulation window and performs the specified simulations and creates the specified data set. Cancel closes the window .

• Tài chính doanh nghiệp
• Hướng dẫn sử dụng SAS ETS
• các mô hình phân tích tài chính
• báo cáo tài chính
• phân tích đầu tư
• phân tích tính khả dụng các khoản đầu tư